Posted 13 days ago
Senior Director, AI Architecture
@ Royal Bank of Canada
Toronto, Ontario
Overview
Royal Bank of Canada is hiring a Senior Director, AI Architecture in Toronto to set one standard for building, securing and running AI across Technology & Operations. The role owns the reference architecture for RAG, AI agents, model access and AI-native delivery, and it must satisfy Internal Audit, Model Risk and OSFI. The posting states a full-time salaried role of 37.5 hours per week.
Responsibilities:
- Define enterprise AI reference architecture and approved patterns
- Converge RAG solutions onto a shared platform
- Design agent sandboxing, identity and security architecture
- Own AI-DLC harness and deterministic quality gates
- Chair AI architecture review and manage exceptions
Requirements summary:
- 15+ years in architecture or engineering
- 5+ years leading architects or engineers at enterprise scale
- Hands-on LLM systems experience: RAG, agents, MCP, evaluation
- AI security architecture, including OWASP Top 10 for LLM
- Strong DevSecOps and SDLC background
- Experience in regulated industry, ideally under OSFI
Tools & skills
Benefits mentioned
Source and dates
Employer career site / ATS feed · workday
- Employer posting date
- 2026-10-26
- First seen by our source
- 2026-10-27
- Source record updated
- 2026-11-04
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Senior |
| Department | IT |
| Experience | 15+ years |
| Management experience | 5+ years |
| Manages people | Yes |
| Hours per week | 37.5 |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Perks mentioned | Flexible hours, Performance bonus, Paid training |
Summary and details written by AI from the posting; the employer’s posting is the authority.
Royal Bank of Canada
Stock listing: TSX:RY · NYSE:RY · Source checked: 2026-11-02
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Full company description
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market capitalization, we have a diversified business model with a focus on innovation and providing exceptional experiences to our more than 17 million clients in Canada, the U.S. and 27 other countries. Learn more at rbc.com. We are proud to support a broad range of community initiatives through donations, community investments and employee volunteer activities. See how at www.rbc.com/community-social-impact. http://rbc.com/legalstuff. La Banque Royale du Canada est une institution financière mondiale définie par sa raison d'être, guidée par des principes et orientée vers l'excellence en matière de rendement. Notre succès est attribuable aux quelque 94 000+ employés qui mettent à profit leur créativité et leur savoir faire pour concrétiser notre vision, nos valeurs et notre stratégie afin que nous puissions contribuer à la prospérité de nos clients et au dynamisme des collectivités. Selon la capitalisation boursière, nous sommes la plus importante banque du Canada et l'une des plus grandes banques du monde. Nous avons adopté un modèle d'affaires diversifié axé sur l'innovation et l'offre d'expériences exceptionnelles à nos plus de 17 millions de clients au Canada, aux États Unis et dans 27 autres pays. Pour en savoir plus, visitez le site rbc.com/francais Nous sommes fiers d'appuyer une grande diversité d'initiatives communautaires par des dons, des investissements dans la collectivité et le travail bénévole de nos employés. Pour de plus amples renseignements, visitez le site www.rbc.com/collectivite-impact-social. https://www.rbc.com/conditions-dutilisation/
- LinkedIn followers
- 932,626
- People associated on LinkedIn
- 96,867
- Reported office locations
- 200 Bay Street, Toronto, Ontario M5J 2J5, CA
- 1 Place Ville-Marie, Montreal, QC H3B 1Z3, CA
- 2 Park St, Sydney, NSW 2000, AU
- 100 Bishopsgate, London, England EC2N 4AA, GB
- Persiaran Apec, Cyberjaya, Selangor 63000, MY
- 60 S 6th St, Minneapolis, MN 55402, US
- Business categories
- Wealth Management
- Commercial Lending
- Finance
- Banking
- Payments
- Asset Management
- Insurance
- Lending
- Financial Services
- Financial Exchanges
- Other recorded names
- Royal Bank of Canada
- RBC
- Specialties
- finance
- banking
- investing
- insurance
- financial planning
- wealth management
- and capital markets
- Profile identifies a recruitment agency
- No
- Reported total investment
- 22,251,000
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance. Our success comes from the 94,000+ employees who leverage their imaginations and insights to bring our vision, values and strategy to life so we can help our clients thrive and communities prosper. As Canada's biggest bank and one of the largest in the world, based on market…
| Field | Value |
|---|---|
| Industry | Banking |
| Company size | 10,001+ employees |
| Headquarters | Toronto, Ontario |
| Organization type | Public Company |
| Specialties | financebankinginvestinginsurancefinancial planningwealth managementand capital markets |
| Open jobs on Jobsy | 1,072 |
| View page |
Job Description
What is the opportunity?
This leader sets one standard way to build, secure and run AI across RBC Technology & Operations. They own the reference architecture for retrieval-augmented generation (RAG), AI agents, model access and AI-native software delivery (AI-DLC). The role turns the 2030 T&O ambitions, including AI-native delivery and 30% of GenAI volume on open-weight models, into patterns teams actually use.
Success means fewer bespoke stacks, faster delivery with maintainable code, and AI that Internal Audit, Model Risk and OSFI can trust.
What will you do?
- AI architecture standards as code. Define the enterprise AI reference architecture and approved patterns. Encode them as harness skills, agent constitutions and automated fitness checks, so standards apply at generation time rather than at review.
- Common RAG substrate. Converge the many RAG solutions onto one shared platform: ingestion, chunking, embeddings, hybrid retrieval, reranking and evaluation. Retrieval must respect source entitlements by default. Set a retirement plan for duplicate stacks.
- Agent sandboxing and security architecture. Design the sandbox standard for every agentic workload: ephemeral environments, egress allow-lists, short-lived task-scoped credentials and no standing production access. Own agent identity, tool access through a governed MCP gateway and registry, and defenses against prompt injection and poisoned tools.
- AI-DLC harness and quality gates. Own the harness architecture from spec to release. Make quality gates deterministic and mandatory: tests and coverage, static analysis, complexity and duplication limits, dependency and license checks, security scanning and architecture fitness checks. Enforce separation of duties (the agent that writes a change cannot approve it), PR size limits and traceability from spec to deployment.
- Skills and evaluation lifecycle. Treat skills like code: owned, versioned, regression-tested with evals and retired when stale. Re-run evals before any model upgrade reaches teams.
- Model gateway and inference architecture. Route work across frontier and open-weight models by cost, risk and jurisdiction. Build in token metering, caching and data-classification rules so cost and residency are enforced by the platform.
- Risk-tiered control model. Partner with Internal Audit, Model Risk and Cyber to define human-oversight tiers, from human-on-the-loop for low-risk work to human-in-the-loop for payments and core banking. Align with OSFI Guidelines E-23 and B-13.
- Design authority and innovation. Chair AI architecture review, keep decision records and manage exceptions. Graduate proven lab work into the platform and evaluate emerging technology, such as agent protocols and new open-weight models.
What do you need to succeed?
- 15+ years in architecture or engineering, including 5+ years leading architects or engineers at enterprise scale.
- Hands-on depth in LLM systems: RAG, agent frameworks, MCP, evaluation and inference serving on cloud and on-premises GPUs.
- Security architecture for AI, including the OWASP Top 10 for LLM applications, sandboxing and identity for non-human actors.
- Strong DevSecOps and SDLC background; you have shipped quality gates engineers accepted rather than routed around.
- Experience in a regulated industry, ideally financial services under OSFI.
- Credibility with engineers: you still prototype and read code. Able to explain trade-offs plainly to executives and audit.
What’s in it for you?
We thrive on the challenge to be our best, progressive thinking to keep growing, and working together to deliver trusted advice to help our clients thrive and communities prosper. We care about each other, reaching our potential, making a difference to our communities, and achieving success that is mutual.
- A comprehensive Total Rewards Program including bonuses and flexible benefits, competitive compensation, commissions, and stock where applicable
- Leaders who support your development through coaching and managing opportunities
- Ability to make a difference and lasting impact
- Work in a dynamic, collaborative, progressive, and high-performing team
- A world-class training program in financial services
- Flexible work/life balance options
- Opportunities to do challenging work
#LI-POST
#TECHPJ
Job Skills
Big Data Management, Data Modeling, Data Science, Decision Making, Deep Learning, Machine Learning (ML), Predictive Analytics, Programming Languages, Relationship BuildingAdditional Job Details
Address:
RBC WATERPARK PLACE, 88 QUEENS QUAY W:TORONTOCity:
TorontoCountry:
CanadaWork hours/week:
37.5Employment Type:
Full timePlatform:
TECHNOLOGY AND OPERATIONSJob Type:
RegularPay Type:
SalariedPosted Date:
2026-10-27Application Deadline:
2026-11-20Note: Applications will be accepted until 11:59 PM on the day prior to the application deadline date above
Our Employment Opportunities
At RBC, we are guided by living shared values of Client First, Integrity, Collaboration, Respect and Excellence and winning together as One RBC. We believe an inclusive workplace that has diverse perspectives is core to our continued growth as one of the largest and most successful banks in the world. Maintaining a workplace where our employees feel supported to perform at their best, effectively collaborate, drive innovation, and grow professionally helps to bring our Purpose to life and create value for our clients and communities. RBC strives to deliver this through policies and programs intended to foster a workplace based on respect, belonging and opportunity for all.
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RBC is presently inviting candidates to apply for this existing vacancy. Applying to this posting allows you to express your interest in this current career opportunity at RBC. Qualified applicants may be contacted to review their resume in more detail.
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